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Samsung (Brazil)

Brazil

9 papers here1.1k citations across 9
fields
  • cs.CV5
  • cs.IR1
  • cs.SD1
  • eess.SP1
  • physics.optics1
ROR 052a20h63OpenAlex

affiliations via OpenAlex

output
20152026
most citedTowards Better Exploiting Convolutional Neural Networks for Remote Sensing Scene Classification

925 citations

researchers with a paper here
  • D. Luvizon3 · h 7
  • O. A. B. Penatti3 · h 17
  • J. Almeida2 · h 22
  • Leonardo A. Duarte2 · h 2
  • Afonso Menegola1 · h 5
  • André G. C. Pacheco1 · h 15
  • Antonio Joia Neto1 · h 1
  • A. Pinto1 · h 15
  • A. Ribeiro1 · h 2
  • A. Santos1 · h 4
  • A. Silva1 · h 2
  • A. V. Zuben1 · h 4
collaborating institutions
  • Universidade Estadual de Campinas (UNICAMP)BR4 papers
  • Universidade Federal de Minas GeraisBR2 papers
  • Universidade Federal de São PauloBR2 papers
  • Centre National de la Recherche ScientifiqueFR1 paper
  • Equipes Traitement de l'Information et SystèmesFR1 paper
  • Informatique, BioInformatique, Systèmes ComplexesFR1 paper
  • Laboratoire d'Informatique Gaspard-MongeFR1 paper
  • Norwegian University of Science and TechnologyNO1 paper
  • Samsung (South Korea)KR1 paper
  • Universidade Federal do ABCBR1 paper
  • Université Gustave EiffelFR1 paper
  • Université Paris-SaclayFR1 paper
Showing 2016 · cs.CVShow all

1 paper · 2 filters

cs.CV2016★ 925 cited

Towards Better Exploiting Convolutional Neural Networks for Remote Sensing Scene Classification

Keiller Nogueira, Otávio A. B. Penatti, Jefersson A. dos Santos

We present an analysis of three possible strategies for exploiting the power of existing convolutional neural networks (ConvNets) in different scenarios from the ones they were tra…

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